{"id":"W2103335393","doi":"10.1109/isit.2010.5513331","title":"AEP of Output when Rate is above capacity: The Gaussian case","year":2010,"lang":"en","type":"article","venue":"","topic":"Wireless Communication Security Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Codebook; Gaussian; Channel capacity; Equipartition theorem; Channel (broadcasting); Relay; Mathematics; Computer science; Algorithm; Mathematical optimization; Topology (electrical circuits); Combinatorics; Telecommunications; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004920491,0.001267007,0.00166764,0.001448336,0.0009220809,0.00218453,0.00146463,0.001569334,0.003425936],"category_scores_gemma":[0.04932809,0.0007530751,0.0009177961,0.001475945,0.005162899,0.004460647,0.002820631,0.002564986,0.0006160355],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001514618,"about_ca_system_score_gemma":0.0008730053,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001610363,"about_ca_topic_score_gemma":0.000894366,"domain_scores_codex":[0.9962804,0.001271112,0.0001427418,0.0004656013,0.001012792,0.0008272709],"domain_scores_gemma":[0.957399,0.03319462,0.003042658,0.002613492,0.002734886,0.001015449],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001250228,0.0001376589,0.006301713,0.0004936768,0.0001554987,0.003991248,0.001112303,0.3999953,0.02218382,0.5361483,0.002866883,0.02536339],"study_design_scores_gemma":[0.00005236393,0.0002369141,0.002853907,0.0001467488,0.00007137131,0.003124097,0.0004032262,0.7885168,0.012438,0.1907513,0.001280112,0.0001252338],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.267148,0.001295318,0.700402,0.001485169,0.00009624402,0.0001035297,0.0005820876,0.0007895988,0.028098],"genre_scores_gemma":[0.9864262,0.0007519546,0.01021626,0.0001690837,0.0001161842,0.00008248975,0.0001250964,0.0001333609,0.001979392],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004920491,"threshold_uncertainty_score":0.02602237,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0205146670197138,"score_gpt":0.2340310033078966,"score_spread":0.2135163362881828,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}